<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/" version="2.0">
  <channel>
    <title>topic Free Webinar: SAS® Visual Data Mining and Machine Learning: Getting Started in SAS Data Science</title>
    <link>https://communities.sas.com/t5/SAS-Data-Science/Free-Webinar-SAS-Visual-Data-Mining-and-Machine-Learning-Getting/m-p/548847#M7763</link>
    <description>&lt;P&gt;Hi Data Mining Community,&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;I’m presenting a live “Ask the Expert” webinar on April 12, 1 - 2 p.m. ET on SAS&lt;SUP&gt;®&lt;/SUP&gt; Visual Data Mining and Machine Learning on Viya: Getting Started. Please &lt;SPAN&gt;&lt;A href="https://www.sas.com/en_us/webinars/ate-visual-data-mining-machine-learning.html" target="_blank"&gt;join me&lt;/A&gt;&lt;/SPAN&gt;.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Innovative algorithms and fast, in-memory processing. That's what you get with SAS Visual Data Mining and Machine Learning.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Designed for data scientists, statisticians and business analysts, it offers advanced programming capabilities coupled with point-and-click ease. Whether you want to program or point and click it provides innovative algorithms and fast, in-memory processing.&lt;/P&gt;
&lt;P&gt;Watch this presentation and demo as we explore:&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;UL&gt;
&lt;LI&gt;&lt;STRONG&gt;New algorithms&lt;/STRONG&gt; - factorization machines and random forests.&lt;/LI&gt;
&lt;LI&gt;&lt;STRONG&gt;Creating models&lt;/STRONG&gt; - neural network and gradient boosting (including auto tuning).&lt;/LI&gt;
&lt;LI&gt;&lt;STRONG&gt;Comparing models&lt;/STRONG&gt; - multiple criterion such as KS, lift, ROC and misclassification.&lt;/LI&gt;
&lt;LI&gt;&lt;STRONG&gt;Interfaces&lt;/STRONG&gt; - Interactive features, programming capabilities and integration to open source.&lt;/LI&gt;
&lt;/UL&gt;
&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="Capture.PNG" style="width: 600px;"&gt;&lt;img src="https://communities.sas.com/t5/image/serverpage/image-id/28469i7ADFF503DC15CD16/image-size/large?v=v2&amp;amp;px=999" role="button" title="Capture.PNG" alt="Capture.PNG" /&gt;&lt;/span&gt;&lt;/P&gt;
&lt;P&gt;Are there any other specific questions you’d like covered? Let me know by responding to this thread.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;U&gt;&lt;A href="https://www.sas.com/en_us/webinars/ate-visual-data-mining-machine-learning.html" target="_blank"&gt;Register Now&lt;/A&gt;&lt;/U&gt; to join me for this webinar&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Want more tips? Be sure to subscribe to the&amp;nbsp;&lt;U&gt;&lt;A href="http://communities.sas.com/askexpert" target="_blank"&gt;Ask the Expert board&lt;/A&gt;&lt;/U&gt;&amp;nbsp;to receive follow up Q/A, slides and recordings from other SAS Ask the Expert webinars. To subscribe, select Subscribe from the Options drop down button above the articles.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Can't join the live event? You can view this and other&amp;nbsp;&lt;U&gt;&lt;A href="http://support.sas.com/training/askexpert.html" target="_blank"&gt;Ask the Experts sessions on-demand here.&lt;/A&gt;&lt;/U&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
    <pubDate>Fri, 05 Apr 2019 17:31:36 GMT</pubDate>
    <dc:creator>MelodieRush</dc:creator>
    <dc:date>2019-04-05T17:31:36Z</dc:date>
    <item>
      <title>Free Webinar: SAS® Visual Data Mining and Machine Learning: Getting Started</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/Free-Webinar-SAS-Visual-Data-Mining-and-Machine-Learning-Getting/m-p/548847#M7763</link>
      <description>&lt;P&gt;Hi Data Mining Community,&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;I’m presenting a live “Ask the Expert” webinar on April 12, 1 - 2 p.m. ET on SAS&lt;SUP&gt;®&lt;/SUP&gt; Visual Data Mining and Machine Learning on Viya: Getting Started. Please &lt;SPAN&gt;&lt;A href="https://www.sas.com/en_us/webinars/ate-visual-data-mining-machine-learning.html" target="_blank"&gt;join me&lt;/A&gt;&lt;/SPAN&gt;.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Innovative algorithms and fast, in-memory processing. That's what you get with SAS Visual Data Mining and Machine Learning.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Designed for data scientists, statisticians and business analysts, it offers advanced programming capabilities coupled with point-and-click ease. Whether you want to program or point and click it provides innovative algorithms and fast, in-memory processing.&lt;/P&gt;
&lt;P&gt;Watch this presentation and demo as we explore:&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;UL&gt;
&lt;LI&gt;&lt;STRONG&gt;New algorithms&lt;/STRONG&gt; - factorization machines and random forests.&lt;/LI&gt;
&lt;LI&gt;&lt;STRONG&gt;Creating models&lt;/STRONG&gt; - neural network and gradient boosting (including auto tuning).&lt;/LI&gt;
&lt;LI&gt;&lt;STRONG&gt;Comparing models&lt;/STRONG&gt; - multiple criterion such as KS, lift, ROC and misclassification.&lt;/LI&gt;
&lt;LI&gt;&lt;STRONG&gt;Interfaces&lt;/STRONG&gt; - Interactive features, programming capabilities and integration to open source.&lt;/LI&gt;
&lt;/UL&gt;
&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="Capture.PNG" style="width: 600px;"&gt;&lt;img src="https://communities.sas.com/t5/image/serverpage/image-id/28469i7ADFF503DC15CD16/image-size/large?v=v2&amp;amp;px=999" role="button" title="Capture.PNG" alt="Capture.PNG" /&gt;&lt;/span&gt;&lt;/P&gt;
&lt;P&gt;Are there any other specific questions you’d like covered? Let me know by responding to this thread.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;U&gt;&lt;A href="https://www.sas.com/en_us/webinars/ate-visual-data-mining-machine-learning.html" target="_blank"&gt;Register Now&lt;/A&gt;&lt;/U&gt; to join me for this webinar&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Want more tips? Be sure to subscribe to the&amp;nbsp;&lt;U&gt;&lt;A href="http://communities.sas.com/askexpert" target="_blank"&gt;Ask the Expert board&lt;/A&gt;&lt;/U&gt;&amp;nbsp;to receive follow up Q/A, slides and recordings from other SAS Ask the Expert webinars. To subscribe, select Subscribe from the Options drop down button above the articles.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Can't join the live event? You can view this and other&amp;nbsp;&lt;U&gt;&lt;A href="http://support.sas.com/training/askexpert.html" target="_blank"&gt;Ask the Experts sessions on-demand here.&lt;/A&gt;&lt;/U&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Fri, 05 Apr 2019 17:31:36 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/Free-Webinar-SAS-Visual-Data-Mining-and-Machine-Learning-Getting/m-p/548847#M7763</guid>
      <dc:creator>MelodieRush</dc:creator>
      <dc:date>2019-04-05T17:31:36Z</dc:date>
    </item>
    <item>
      <title>Re: Free Webinar: SAS® Visual Data Mining and Machine Learning: Getting Started</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/Free-Webinar-SAS-Visual-Data-Mining-and-Machine-Learning-Getting/m-p/552261#M7773</link>
      <description>&lt;P&gt;Slides and Q&amp;amp;A are available here&amp;nbsp;&lt;A href="https://communities.sas.com/t5/Ask-the-Expert/SAS-Visual-Data-Mining-and-Machine-Learning-VDMML-Getting/ta-p/385455" target="_blank"&gt;https://communities.sas.com/t5/Ask-the-Expert/SAS-Visual-Data-Mining-and-Machine-Learning-VDMML-Getting/ta-p/385455&lt;/A&gt;&lt;/P&gt;</description>
      <pubDate>Thu, 18 Apr 2019 18:52:17 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/Free-Webinar-SAS-Visual-Data-Mining-and-Machine-Learning-Getting/m-p/552261#M7773</guid>
      <dc:creator>MelodieRush</dc:creator>
      <dc:date>2019-04-18T18:52:17Z</dc:date>
    </item>
  </channel>
</rss>

